BuiltOnAir

Rupert from DocsAutomator demonstrates an advanced e-signing suite designed for seamless Airtable integration. Unlike traditional manual workarounds, this tool provides a legally compliant way to manage business contracts with full audit trails and seven-year document retention. The demonstration features the DocsAutomator AI agent, which can build complex legal templates throu...

A deep dive into the technical workflow of DocsAutomator, demonstrating how to map Airtable fields and related line items to Google Doc placeholders. Rupert explains how the built-in AI agent can reverse the traditional workflow by generating templates directly from your existing Airtable data structure. The discussion covers post-generation actions, such as saving PDFs back to...

The team explores advanced workflows for managing AI agents, specifically how to use formulas and triggers to prevent an AI from overwriting manual human edits. They demonstrate using "last modified" fields and custom checkbox logic to create a "global stopper" for automations. They also dive into the various output types available for field agents, including single and multipl...

Alli Alosa provides a deep dive into AI field agents within Airtable, explaining how they function as mini-agents within your database tables. She discusses the evolution of field agent outputs and how users can now work in tandem with the AI within a single field. The discussion covers practical prompt engineering, including how to reference other fields and how to enable web ...

Kamille Parks demonstrates how to use the Model Context Protocol (MCP) to manage Airtable automations via Claude. She walks through updating an existing automation by adding placeholder email addresses to a notification step, showing how the AI can modify specific parameters while preserving existing context. The demo also covers management tasks like deleting an automation and...